Methodology for Predicting Channel Migration (2004) / Chapter Skim
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4 CHAPTER 1 INTRODUCTION AND RESEARCH APPROACH PROBLEM STATEMENT AND RESEARCH OBJECTIVES Rivers prone to channel migration may be spanned by structures and paralleled by fixed highway alignments and appurtenances. Channel migration (alluvial river meander, planform deformation)
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5 migration. A prediction of channel migration could also be used to alert bridge inspection personnel to the potential for channel change that could affect the safety of a bridge.
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6 • Develop quantitative multiple regression or other statistical relationships for predicting direction, location, and rate of meander migration in unstable meandering stream reaches. Support these empirical relationships with an overall applications methodology, perhaps in spread sheet and graphical (CAD)
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7 list by making simplifying assumptions and examining relative magnitudes of variables. This means that it is necessary to strive toward an acceptable balance between accuracy and limitations posed by data needs and analytical complexity.
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8 • Contact state, federal, other agencies, and researchers who have assembled similar data bases to collect data to supplement and expand the existing data sets. • Choose a broad distribution of sites geographically so that regional climate, geology, and geomorphology are represented.
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9 Contact state, federal, and other appropriate agencies to develop a list of documented case histories and to collect information on channel migration throughout North America. Task 3 - Assemble and Evaluate Existing Data Access and evaluate the existing data bases and develop additional data on meander migration as described in Task 2.
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10 • Sources of mapping and aerial photographic data (e.g., the MSN TerraServer Web site or the USGS EROS Data Center) • Basic principles and theory of aerial photograph comparison (e.g., scale, distortion, etc.)
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